Cancer, a pervasive and devastating disease, remains a leading global cause of mortality, emphasizing the growing urgency for effective detection methods. Gene Expression Microarray (GEM) data has emerged as a crucial tool in this context, offering insights into early cancer detection and treatment. While deep learning methods offer promise in detecting various cancers through GEM analysis, they suffer from high dimensionality inherent in gene sequences, preventing optimal detection performance across diverse cancer types.
View Article and Find Full Text PDFBackground: Families are the primary source of support and care for most children. In Western societies, 4 to 12% of children live in households where a parent has a chronic illness. Exposure to early-life stressors, including parenting stress, parental depression and parental chronic disease could lead to harmful changes in children's social, emotional or behavioural functioning.
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